Repeatability and Reliability Evaluation of a Wireless Head-band Sensor

The objective of this study was to characterize head biomechanics of video-recorded falls involving young children in a licensed childcare setting. Children 12 to < 36 months of age were observed using video monitoring during daily activities in a childcare setting (in classrooms and outdoor playground) to capture fall events. Sensors (SIM G) incorporated into headbands worn by the children were used to obtain head accelerations and velocities during falls. The SIM G device was activated when linear acceleration was ≥ 12 g. 174 video-recorded falls activated the SIM G device; these falls involved 31 children (mean age = 21.6 months ± 5.6 SD). Fall heights ranged from 0.1 to 1.2 m. Across falls, max linear head acceleration was 50.2 g, max rotational head acceleration was 5388 rad/s2, max linear head velocity was 3.8 m/s and max rotational head velocity was 21.6 rad/s. Falls with head impact had significantly higher biomechanical measures. There was no correlation between head acceleration and fall height. No serious injuries resulted from falls—only 1 child had a minor injury. In conclusion, wearable sensors enabled characterization of head biomechanics during video-recorded falls involving young children in a childcare setting. Falls in this setting did not result in serious injury.

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Head biomechanics of video recorded falls involving children in a childcare setting

Bertocci

Smalley

Brown

et al. 2022

Sci Rep

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Examining the influence of the Get aHEAD Safely in Soccer™ program on head impact kinematics and neck strength in female youth soccer players

Wahlquist

Glutting

Kaminski

2022

Research in Sports Medicine

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Laboratory Assessment of a Headband-Mounted Sensor for Measurement of Head Impact Rotational Kinematics

Huber

Patton

Wofford

et al. 2020

Journal of Biomechanical Engineering

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Head impact sensors measure head kinematics in sports, and sensor accuracy is crucial for investigating the potential link between repetitive head loading and clinical outcomes. Many validation studies mount sensors to human head surrogates and compare kinematic measures during loading from a linear impactor. These studies are often unable to distinguish intrinsic instrumentation limitations from variability caused by sensor coupling. The aim of the current study was to evaluate intrinsic sensor error in angular velocity in the absence of coupling error for a common head impact sensor. Two Triax SIM-G sensors were rigidly attached to a preclinical rotational injury device and subjected to rotational events to assess sensor reproducibility and accuracy. Peak angular velocities between the SIM-G sensors paired for each test were correlated (R2>0.99, y=1.00x, p<0.001). SIM-G peak angular velocity correlated with the reference (R2=0.96, y=0.82x, p<0.001); however, SIM-G underestimated the magnitude by 15.0% ± 1.7% (p<0.001). SIM-G angular velocity rise time (5% to 100% of peak) correlated with the reference (R2=0.97, y=1.06x, p<0.001) but exhibited a slower fall time (100% to 5% of peak) by 9.0 ± 3.7 ms (p<0.001). Assessing sensor performance when rigidly coupled is a crucial first step to interpret on-field SIM-G rotational kinematic data. Further testing in increasing biofidelic conditions is needed to fully characterize error from other sources, such as coupling.

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Repeatability and Reliability Evaluation of a Wireless Head-band Sensor

Cited by 3 publications

References 20 publications

Head biomechanics of video recorded falls involving children in a childcare setting

Head biomechanics of video recorded falls involving children in a childcare setting

Examining the influence of the Get aHEAD Safely in Soccer™ program on head impact kinematics and neck strength in female youth soccer players

Laboratory Assessment of a Headband-Mounted Sensor for Measurement of Head Impact Rotational Kinematics

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